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ICBDA 2021 : 6th International Conference on Big Data Analytics

Xiamen, China
Event Date: Mar 05, 2021 - Mar 08, 2021
Submission Deadline: Oct 20, 2020
Notification of Acceptance: Nov 20, 2020
Camera Ready Version Due : Dec 15, 2020

About

Big Data overall architecture consists of three layers: data storage, data processing and data analysis. Data storage layer stores complex type and mass data, data processing layer realizes real-time processing of massive data, and only through data analysis layer, smart, in-depth and valuable information are got. When talking about big data, it comes to the first is 4V characteristics of big data, namely Volumes, Variety ,Velocity , Veracity. Big data processing key technology generally includes: data acquisition, data preprocessing, data storage and data management, data analysis and mining, big show and application (big data retrieval, data visualization, big data applications, data security, etc.).

Call For Paper

Topics of interest include, but are not limited to:

Big Data Models and Algorithms

  • Foundational Models for Big Data
  • Algorithms and Programming Techniques for Big Data Processing
  • Big Data Analytics and Metrics
  • Representation Formats for Multimedia Big Data

Big Data Architectures

  • Cloud Computing Techniques for Big Data
  • Big Data as a Service
  • Big Data Open Platforms
  • Big Data in Mobile and Pervasive Computing

Big Data Management

  • Big Data Persistence and Preservation
  • Big Data Quality and Provenance Control
  • Management Issues of Social Network Big Data

Big Data Protection, Integrity and Privacy

  • Models and Languages for Big Data Protection
  • Privacy Preserving Big Data Analytics
  • Big Data Encryption

Security Applications of Big Data

  • Anomaly Detection in Very Large Scale Systems
  • Collaborative Threat Detection using Big Data Analytics

Big Data Search and Mining

  • Algorithms and Systems for Big Data Search
  • Distributed, and Peer-to-peer Search
  • Machine learning based on Big Data
  • Visualization Analytics for Big Data

Big Data for Enterprise, Government and Society

  • Big Data Economics
  • Real-life Case Studies of Value Creation through Big Data Analytics
  • Big Data for Business Model Innovation
  • Big Data Toolkits
  • Big Data in Business Performance Management
  • SME-centric Big Data Analytics
  • Big Data for Vertical Industries (including Government, Healthcare, and Environment)
  • Scientific Applications of Big Data
  • Large-scale Social Media and Recommendation Systems
  • Experiences with Big Data Project Deployments
  • Big Data in Enterprise Management Models and Practices
  • Big Data in Government Management Models and Practices
  • Big Data in Smart Planet Solutions
  • Big Data for Enterprise Transformation

Blockchain

  • Blockchain based lightweight data structures for IoT data
  • Blockchain based IoT security solutions
  • Blockchain in cyber physical systems
  • Blockchain in social networking
  • Bolckchain in crowdsourcing and crowdsensing
  • Blockchain in 5G
  • Blockchain in edge and cloud computing
  • Blockchain and trust management

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